Abstract:Algae is rich in a variety of nutrients and is one of the important sources of aquatic food. However，during processing，algae can affect the eating quality of the product by producing a fishy odor. In order to solve this problem，physical，chemical，biological，and composite methods are usually used for deodorization. At present，machine learning and multivariate analysis methods have been used for the classification and prediction of fishy odor substances，showing great application potential in fishy odor treatment. This article systematically reviewed the latest research progress on the formation mechanism，intelligent detection，and deodorization methods of fishy odor in algae.